Towards an approach to measure how open data is reused Visualization of open data metrics

IRENE, GARRIGOS and JOSE VICENTE, CARCEL and JOSE, ZUBCOFF and JOSE-NORBERTO, MAZON and LLORENC, VAQUER (2015) Towards an approach to measure how open data is reused Visualization of open data metrics. In: Third International Conference on Advances in Information Processing and Communication Technology - IPCT 2015, 10-11 December, 2015, Rome, Italy.

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Data economy drives us into a world in which reusing data has an important economical impact. However, data consumer has no enough mechanisms for developing apps that reuse data. A developer is willing to know which is the impact of the data to decide which is consumed within the envisioned smartphone application. One of the best ways of measuring impact comes from the research arena, in which metrics based on citations are provided (such as bibliometrics and altmetrics) to measure the impact of authors, articles and journals. Accordingly, to measure how open data is reused it must be cited. However, data citation is not a common practice and it is quite difficult to obtain metrics of reused data and apps. This paper describes first step of an approach to (i) extract information about used data in app catalogs with scraping and other techniques to compose a metadata database, (ii) compute some metrics to measure the impact of open data sets, and (iii) visualize results to help data consumers in the process of selecting the most impact data for reusing and develop apps.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: open data, bibliometrics, altmetrics, SOA
Depositing User: Mr. John Steve
Date Deposited: 04 Apr 2019 11:59
Last Modified: 04 Apr 2019 11:59

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